Statistical analysis of fNIRS data: a comprehensive review

S Tak, JC Ye - Neuroimage, 2014 - Elsevier
Functional near-infrared spectroscopy (fNIRS) is a non-invasive method to measure brain
activities using the changes of optical absorption in the brain through the intact skull. fNIRS …

NIRS measures in pain and analgesia: fundamentals, features, and function

KD Karunakaran, K Peng, D Berry, S Green… - Neuroscience & …, 2021 - Elsevier
Current pain assessment techniques based only on clinical evaluation and self-reports are
not objective and may lead to inadequate treatment. Having a functional biomarker will add …

[HTML][HTML] Optical imaging and spectroscopy for the study of the human brain: status report

H Ayaz, WB Baker, G Blaney, DA Boas… - …, 2022 - spiedigitallibrary.org
This report is the second part of a comprehensive two-part series aimed at reviewing an
extensive and diverse toolkit of novel methods to explore brain health and function. While …

GRETNA: a graph theoretical network analysis toolbox for imaging connectomics

J Wang, X Wang, M Xia, X Liao, A Evans… - Frontiers in human …, 2015 - frontiersin.org
Recent studies have suggested that the brain's structural and functional networks (ie,
connectomics) can be constructed by various imaging technologies (eg, EEG/MEG; …

Sensitivity of fNIRS to cognitive state and load

FA Fishburn, ME Norr, AV Medvedev… - Frontiers in human …, 2014 - frontiersin.org
Functional near-infrared spectroscopy (fNIRS) is an emerging low-cost noninvasive
neuroimaging technique that measures cortical bloodflow. While fNIRS has gained interest …

Clinical applications of the functional connectome

FX Castellanos, A Di Martino, RC Craddock, AD Mehta… - Neuroimage, 2013 - Elsevier
Central to the development of clinical applications of functional connectomics for neurology
and psychiatry is the discovery and validation of biomarkers. Resting state fMRI (R-fMRI) is …

[HTML][HTML] The expanding horizons of network neuroscience: From description to prediction and control

P Srivastava, P Fotiadis, L Parkes, DS Bassett - Neuroimage, 2022 - Elsevier
The field of network neuroscience has emerged as a natural framework for the study of the
brain and has been increasingly applied across divergent problems in neuroscience. From a …

Disrupted functional brain connectivity networks in children with attention-deficit/hyperactivity disorder: evidence from resting-state functional near-infrared …

M Wang, Z Hu, L Liu, H Li, Q Qian, H Niu - Neurophotonics, 2020 - spiedigitallibrary.org
Significance: Attention-deficit/hyperactivity disorder (ADHD) is the most common
psychological disease in childhood. Currently, widely used neuroimaging techniques …

Test-retest reliability of graph metrics in functional brain networks: a resting-state fNIRS study

H Niu, Z Li, X Liao, J Wang, T Zhao, N Shu, X Zhao… - PLoS …, 2013 - journals.plos.org
Recent research has demonstrated the feasibility of combining functional near-infrared
spectroscopy (fNIRS) and graph theory approaches to explore the topological attributes of …

Applications of resting-state fNIRS in the developing brain: a review from the connectome perspective

Z Hu, G Liu, Q Dong, H Niu - Frontiers in neuroscience, 2020 - frontiersin.org
Early brain development from infancy through childhood is closely related to the
development of cognition and behavior in later life. Human brain connectome is a novel …